Instructions to use dusersad12/TextClassifier-BestRun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/TextClassifier-BestRun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/TextClassifier-BestRun")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dusersad12/TextClassifier-BestRun") model = AutoModelForSequenceClassification.from_pretrained("dusersad12/TextClassifier-BestRun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dusersad12/TextClassifier-BestRun: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
-
https://huggingface.co/dusersad12/TextClassifier-BestRun/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dusersad12/TextClassifier-BestRun/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dusersad12/TextClassifier-BestRun/resolve/main/pytorch_model.bin
1.02 kB
- Xet hash:
- f456f2056fb4c6925da651afee506597eabf55f09c0cf990d0f3c1ae5ae188d4
- Size of remote file:
- 1.02 kB
- SHA256:
- 2c090a18f46da5410de4ec03521ed87d8e3db6464025ba893ce091718a613f94
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